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Search · four archives
22 papers · ranked by Valyu relevance
Piotr Tarka
This paper is a tribute to researchers who have significantly contributed to improving and advancing structural equation modeling (SEM). It is, therefore, a brief overview of SEM and presents its beginnings, historical development, its usefulness in the social sciences and the statistical and philosophical…
Tanya N Beran, Claudio Violato
Background Structural equation modeling (SEM) is a set of statistical techniques used to measure and analyze the relationships of observed and latent variables. Similar but more powerful than regression analyses, it examines linear causal relationships among variables, while simultaneously accounting for measurement…
Anna A. Igolkina, G. A. Meshcheryakov
Structural equation modelling (SEM) is a multivariate statistical technique for estimating complex relationships between observed and latent variables. Although numerous SEM packages exist, each of them has limitations. Some packages are not free or open-source; the most popular package not having this disadvantage is…
Tamara Schamberger, Florian Schuberth, Jörg Henseler, Yves Rosseel
Structural equation modeling (SEM) is a prevalent approach for studying constructs. Traditionally, these constructs are modeled as reflectively measured latent variables – common factors that account for the variance-covariance structure of their associated indicators. Over the past two decades, there has been growing…
Hashem Salarzadeh Jenatabadi
This paper provides a tutorial discussion on analyzing structural equation modelling (SEM). SEM can be regarded as regression models with observed and unobserved indicators, have been extensively applied to practical and fundamental studies. We deliver an introduction to SEM method and a detailed description of how to…
Geng Wang, Nicole M Warrington, David M Evans
Birth weight (BW), as a proxy for intrauterine growth, is influenced by both fetal and maternal genetic factors. Single nucleotide polymorphisms in the human leukocyte antigen (HLA) region in both maternal and fetal genomes have been robustly associated with BW in previous genetic association studies suggesting the…
Massimo Melucci
The interpretation of the experimental data collected by testing systems across input datasets and model parameters is of strategic importance for system design and implementation. In particular, finding relationships between variables and detecting the latent variables affecting retrieval performance can provide…
Paul K. Rubenstein, Sebastian Weichwald, Stephan Bongers, Joris M. Mooij + 3 more
'Joris M. Mooij' 'Dominik Janzing' 'Moritz Grosse‐Wentrup' 'Bernhard Schölkopf'] Complex systems can be modelled at various levels of detail. Ideally, causal models of the same system should be consistent with one another in the sense that they agree in their predictions of the effects of interventions. We formalise…
Capt Sirsendu Ghosh
Exceptional growth in the development of oral health of various populations worldwide over the last three decades cannot lessen tribulations in dental caries, periodontal disease, and psychological problems, which are still prevalent in many communities, especially among the poor socioeconomic groups in developing…
Tuo Liu, Ruyi Ding, Zhonghuang Su, Zixuan Peng + 1 more
Understanding the differential strength of effects in the presence of a third variable, known as a moderation effect, is a common research goal in many psychological and behavioural science fields. If structural equation modelling is applied to test effects of interest, the investigation of differential strength of…
Authors not listed
Background: Batch reactor process optimization has traditionally relied on Analysis of Variance (ANOVA) for factor effect quantification. However, Structural Equation Modeling (SEM) and machine learning (ML) offer complementary mechanistic and predictive capabilities that remain underexplored in chemical engineering…
Gareth J Griffith, Kelvyn Jones
Mental health and its complexity, measurement and social determinants are increasingly important avenues of research for social scientists. Quantitative social science commonly investigates mental health as captured by population screening metrics. One of the most common of these metrics is the 12-Item General Health…
G. A. Meshcheryakov, Anna A. Igolkina, Maria Samsonova
Structural Equation Modeling (SEM) is an umbrella term that includes numerous multivariate statistical techniques that are employed throughout a plethora of research areas, ranging from social to natural sciences. Until recently, SEM software was either commercial or restricted to niche languages, and the lack of SEM…
Rainer W. Alexandrowicz, Rebecca Jahn, Fabian Friedrich, Anne Unger
Title: Summary Background Various studies have shown that caregiving relatives of schizophrenic patients are at risk of suffering from depression. These studies differ with respect to the applied statistical methods, which could influence the findings. Therefore, the present study analyzes to which extent different…
Zulkifli Mohd Ghazali, Wan Yaacob
This study introduces an integrated methodological framework that combines Partial Least Squares Structural Equation Modelling (PLS-SEM) with a conditional time-invariant Latent Growth Curve Model (LGCM) to analyse panel survey data. The integration addresses limitations of existing PLS-SEM approaches in longitudinal…
Ratnadeep Mukherjee, Pijus Kanti Barman, Pravat Thatoi, Birendra Kumar Prusty + 3 more
Despite major advances in medicine, Sepsis remains one of the major killers in critical care wards around the world. For several years it was widely believed that an early pro-inflammatory host response is followed by an overwhelming anti-inflammatory phase. The hypo-inflammatory status, termed as ‘Compensatory…
Rapson Gomez, Vasileios Stavropoulos, Daniel Zarate, Olympia Palikara + 1 more
'Olympia Palikara' 'Luca Cerniglia'] The accurate assessment of psychopathological behaviours of adolescents and young adults is imperative. Symptom Checklist-90-Revised (SCL-90-R) is one of the most comprehensive and widely used scales addressing this purpose internationally. Interestingly, associations between the…
Javier de la Fuente, Mijke Rhemtulla, Travis T. Mallard, Michel Nivard + 2 more
Many medical, physiological, and psychiatric traits and disorders are highly polygenic and exhibit complex patterns of genetic sharing and differentiation. In 2018, we introduced Genomic Structural Equation Modelling (Genomic SEM) as a formal framework and free, open source, R-based software for modelling the…
Joakim Nyberg, E. Niclas Jonsson, Mats O. Karlsson, Jonas Häggström
Two full model approaches was compared with respect to their ability to handle missing covariate information. The reference data analysis approach was the full model method in which the covariate effects are estimated conventionally using fixed effects, and missing covariate data is imputed with the median of the…
Authors not listed
This work investigates Graph Neural Networks and molecular descriptors average performance across a range of realistic QSAR problems. Using 9 GSK internal QSAR datasets, 9 Graph Neural Network layer architectures and their hyperparameters were evaluated on a default set of descriptors. Following this, 5 descriptor…
Zhiwen Pan, Jan Dellith, Lothar Wondraczek
Understanding the multivariate origin of physical properties is particularly complex for polyionic glasses. As a concept, the term genome has been used to describe the entirety of structure-property relations in solid materials, based on functional genes acting as descriptors for a particular property, for example, for…
Edwin Tse, Laksh Aithani, Mark Anderson, Jonathan Cardoso-Silva + 23 more
The discovery of new antimalarial medicines with novel mechanisms of action is key to combating the problem of increasing resistance to our frontline treatments. The Open Source Malaria (OSM) consortium has been developing compounds ("Series 4") that have potent activity against Plasmodium falciparum in vitro and in…